Data Scientist | Remote

Position: SWE Bench – Data Engineer / Data Scientist

Type: Hourly contract

Location: Remote

Commitment: 20–40 hours/week

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.
• Design, build, and validate data pipelines used for benchmarking and evaluation workflows.
• Perform data processing, analysis, feature preparation, and validation for data science use cases.
• Write, run, and modify Python code to process datasets and support local experimentation.
• Evaluate data transformations and outputs for correctness, consistency, and reproducibility.
• Create clean, reusable, and well-documented workflows suitable for real-world benchmarking.
• Participate in code reviews to maintain high engineering standards and code quality.
• Collaborate with researchers and engineers to design challenging data en...